Combining Complementary Models. We used
reranking [1]}, [2]} to combine
complementary models in this work.
Ensembling [3]} is another approach for
combining complementary models for generation tasks, but requires
additional training. Co-training [4]}
and tri-training [5]} approaches, although
shown to be very effective in combining complementary models, are
designed for classification models rather than generation models.
